Scientific Knowledge Graph Explorer

A grouping of the graph into its natural communities — the tightly-linked clusters of related entities, such as a mission and its instruments, or a star and its planets. A rendering mode over the real link structure.

The relations that reach across the graph's domains — where the science of the sky meets its cultural and historical meaning, as when a constellation joins its stars to its myths. The threads that make the graph one whole rather than three.

A discovery set in its web of context — the people who made it, the instruments that enabled it, the objects it revealed, and the ideas it changed. The story of a discovery as a graph.

A browsable index of every entity in the graph, organised by type and domain, each a gateway into its neighbourhood and its place in the wider web of knowledge.

A node-link visualisation in which entities repel and relations pull, so the graph settles into a shape that reveals its clusters and hubs. A rendering mode over the real neighbourhood data.

A live, read-only REST API over the whole knowledge graph — entities, relations, neighbourhoods, and paths — served at /api/v0/entities so other tools can build on the knowledge. Now realised as the Open Platform's public Graph API.

A direct search across every entity in the graph by name — the fastest way from a word to a node and its neighbourhood.

The knowledge graph in numbers, counted live from the real data: how many entities and relations it holds, how they split across science, culture, and astrology, which entity types are largest, and which entities are the most connected hubs.

A layered layout that arranges entities by level — a taxonomy from the top down, or a dependency chain from cause to effect. A rendering mode for the graph's hierarchical structure.

The reach of a research institution across the graph — the missions it runs, the facilities it operates, and the discoveries it has enabled — traced through the real relations.

Deeper measures of the graph's structure — the average number of links per entity, the distribution of connectivity, and the hubs that hold the network together. The shape of the knowledge, not just its size.

The web around a single mission — its instruments, targets, discoveries, and the institutions behind it — drawn from the real relations. A lens that turns a mission from a name into a network.

The immediate and extended neighbourhood of any entity, expanded breadth-first over the real relations. Start at a star and watch its constellations, catalogues, and physics unfold around it.

The verbs of the graph — the relation types that connect entities, from 'orbits' and 'discovered by' to 'associated with' — and how often each is used. The grammar of the knowledge.

The intellectual lineage running through the graph — how an astronomer's work connects to the theories, laws, and later discoveries that built on it. The descent of ideas, traced through the real relations.

The shortest chain of relations connecting any two entities, found by breadth-first search over the real graph. Every link in the path is a genuine relation — a demonstration of how tightly the knowledge is woven together.

The graph's schema laid bare — the entity types and how they connect to one another, from stars and galaxies to missions and methods. The scaffolding on which every entity hangs.